Dr. Ramanathan Perumal

Product Manager

Utrecht, Netherlands15 yrs experience

Key Highlights

  • Expert in data engineering and analytics solutions.
  • Strong background in computational science and machine learning.
  • Proven track record in developing scalable data pipelines.
Stackforce AI infers this person is a Data Scientist with expertise in Computational Science and Engineering across Healthcare and Pharmaceutical industries.

Contact

Skills

Core Skills

Data EngineeringCloud ComputingData ScienceBusiness AnalyticsData VisualizationSoftware DevelopmentEngineeringMachine LearningComputational ScienceData Analysis

Other Skills

Amazon Web Services (AWS)Business RequirementsC (Programming Language)C++Continuous Integration and Continuous Delivery (CI/CD)Data GovernanceData PipelinesData ProcessingDatabricksDockerGitHubGitlabLarge Language Models (LLM)LinuxMathematical Modeling

About

Hi! I’m a Computational Scientist with a strong engineering background and a deep interest in data science, machine learning, and the latest technology trends. I enjoy working on real-world problems where science, data, and innovation come together. I love exploring new tools and techniques to turn data into insights and build useful solutions. I’m also passionate about learning, collaborating, and staying up to date with what's next in tech and research. Let’s connect and share ideas! 🌐 Website: multiscal.netlify.app

Experience

Genmab

Senior Manager, Technical Lead (Data, Digital & AI)

Aug 2024Present · 1 yr 7 mos · Utrecht, Netherlands · On-site

  • Design and develop scalable data and analytics solutions that empower data-driven decision-making across diverse business domains, supporting strategic initiatives and digital transformation efforts.
  • Engineer robust data pipelines and platforms that ingest, process, and transform large-scale datasets from cloud-based sources, including AWS Data Lakes, data warehouses, and Lakehouse environments - Databricks, leveraging best practices like the medallion architecture.
  • Collaborate closely with cross-functional teams - including product owners, delivery leads, and domain experts - to deliver high-impact data and application solutions.
  • Ensure data quality, compliance, and integrity by supporting validation workflows and aligning with industry regulations and best practices in analytics and data engineering.
Python (Programming Language)R (Programming Language)Amazon Web Services (AWS)DatabricksGitlabContinuous Integration and Continuous Delivery (CI/CD)+2

Pfizer

Manager, Lead Data Scientist (R CoE)

Sep 2022Jul 2024 · 1 yr 10 mos · Chennai, Tamil Nadu, India · On-site

  • Work closely with the leadership team of the R Center of Excellence, individuals, and project teams from business lines to identify technical solutions to business problems.
  • Identifying, building, and deploying reusable data science pipelines and workflows, R packages, Shiny applications, and modules, and takes the lead on defining the strategy and priorities to meet the goal.
  • Provide consultancy and technical input to business lines helping them to build reproducible scientific workflow pipelines and use analytic tools effectively and efficiently.
  • Support cross-pharma initiatives in the open-source development space, contributing to review and helping to define the development roadmap for R packages in this space.
  • Provide strong technical knowledge of R, R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools (e.g. Python) and ML methods to business lines across Pfizer.
Python (Programming Language)GitHubBusiness RequirementsDockerRStudioAmazon Web Services (AWS)+4

Atorus

Data Visualization Engineer; Analytics Engineering

Dec 2021Aug 2022 · 8 mos · Remote

  • Responsible for the development and implementation of Atorus software products, ranging from design of user interface to implementation of technical programming requirements.
  • Development, validation, and maintenance of packages/libraries in one or more programming
  • languages, including, but not limited to, the programming languages R and Python.
  • Development of software product technical specifications and associated documentation.
  • Maintenance of a code base using software versioning tools and continuous integration best practices.
  • Limited administration of development environment and programming language implementations.
EngineeringGitHubGitlabBusiness RequirementsR ShinyR+3

Infosys

Senior Associate Consultant; Energy, Utilities, Communications and Services (ECS)

Jan 2021Dec 2021 · 11 mos · Chennai, Tamil Nadu, India

  • Designed and developed visually sound and complex R Shiny dashboards for the Engineering team to track overall broadband network connectivity of the Openreach (BT), UK.
  • Evaluate emerging technologies that may contribute to analytic platforms.
LinuxEngineeringBusiness RequirementsR ShinyRData Visualization

Miloni gems & gem source india

Data Scientist

Jul 2020Nov 2020 · 4 mos · Dubai, United Arab Emirates

  • Experience in wrestling with large, messy, complex, challenging data sets.
  • Deployed R-Shiny dashboards in AWS with Quick filters, Parameters, ML models and sets to handle data more efficiently from scratch.
  • Build price predictive models and machine-learning algorithms to answer business questions.
LinuxEngineeringR ShinyRData ScienceMachine Learning

Karlsruher institut für technologie (kit)

Research Engineer; IAM-CMS, Computational Materials Science

Jul 2015Apr 2020 · 4 yrs 9 mos · Karlsruhe Germany

  • Expertise in Integrated Computational Materials Engineering (ICME) product design.
  • Responsible for performing the different types of mathematical (multiphase-field) models for materials design based on the available materials data sources.
  • Statistical analysis of large-scale grain growth and coarsening 3-D studies.
  • Large scale simulation studies in High-Performance Computing (HPC) facilities:
  • implementation in C, C++ for Linux.
  • Worked with the Scientific software development team in designing and upgrading the
  • In-house parallel computing package "Parallel Algorithms for Crystal Evolution" (PACE3D).
  • R Shiny application development experience and understanding of the boundaries.
LinuxEngineeringGitlabC (Programming Language)R ShinyC+++6

University of applied sciences, karlsruhe/germany

Research associate; Institute for Digital Materials Science (IDM)

Aug 2013Jun 2015 · 1 yr 10 mos · Karlsruhe Area, Germany

  • Parallel processing PACE3D simulations with MPI Post-processing tools for data analysis and
  • high-quality visualization; R, Paraview, Infographics, Xsimview (in-house).
  • Analyze tera-byte scale simulation data to deliver insightful analytics that solves key problems in research.
  • Build and execute the institute’s data mining and materials modeling activities in support of statistical packages R and Python.
  • Programmed capability in the Shiny app for the reactive expressions automatically update
  • itself triggered by data changes in the source of changes.
LinuxEngineeringC (Programming Language)R ShinyC++R+5

Karlsruher institut für technologie (kit)

Research Assistant; Institute of Nanotechnology (INT)

Sep 2012Mar 2013 · 6 mos · Karlsruhe Area, Germany

  • Working in the area of nanomaterials processing and characterization (Fe-Sc nano glass).
  • Produce materials with unique mechanical and physical properties resulting in capabilities
  • outside the known performance boundaries of existing materials.
EngineeringStatistical Data AnalysisData Visualization

Indian institute of technology, kanpur

Research Assistant; Flexible Electronics Lab

Jul 2010May 2011 · 10 mos · Kanpur Area, India

  • Working in the area Organic Photovoltaics research and Printable Electronics.
  • P3HT-PCBM based Organic Solar Cells preparation and characterization.
  • Cleanroom (class 1000) and photolithographic facilities exposure.
  • Optimization of materials and structures for increasing device efficiency and lifetime.
  • Studies on possible alternative low-cost manufacturing route analysis.
Engineering

Aeronautical development agency

Junior Research Fellow; Airframe Materials Group

Jun 2009Jul 2010 · 1 yr 1 mo · Bengaluru Area, India

  • Worked closely with DRDO and HAL, Bangalore engineers, and subject matter experts to
  • identify opportunities and implement improvements to “Light Combat Aircraft” (LCA)
  • Airframe Structures.
  • Identify business reporting and analytic needs by collaborating with stakeholders and
  • technology teams.
  • Reviewing and validating the output after analysis across various levels such as research,
  • design, and manufacturers and refreshing the project.
Engineering

Vedanta resources plc

Process Engineer

Jun 2008Jun 2009 · 1 yr · Tuticorin- 628 002, Tamilnadu, India.

  • Responsible for the ownership of the factory’s smelter material flow activities, their update, and implementation.
  • Proactively identify new use cases/data-driven business opportunities.
  • Work closely with IT system engineers to collect and analyze the operational data for fault detection and diagnostics and preventative maintenance.
  • Provided technical assistance for the development and execution of test plans and cases as per client requirements.
Engineering

Education

Karlsruhe Institute of Technology (KIT)

Doctor of Philosophy - PhD — Computational Science & Data Processing

Indian Institute of Technology, Madras

Master’s Degree — M.Tech Metallurgical & Materials Engineering

Anna University Chennai

Bachelor’s Degree — B.E Metallurgical Engineering

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